Selected article for: "differential equation model and ordinary differential equation model"
Author: Pei, Sen; Morone, Flaviano; Liljeros, Fredrik; Makse, Hernán; Shaman, Jeffrey L
Title: Inference and control of the nosocomial transmission of methicillin-resistant Staphylococcus aureus
  • Document date: 2018_12_18
    • ID: 0dut9fjn_62
    Snippet: Instead of using a parsimonious ordinary differential equation model, we employ an agentbased model to account for the spatiotemporal complexity of the underlying contact patterns. In particular, agent-based models can be used to simulate epidemic spread using an Equation-Free approach (Kevrekidis et al., 2003) . The transmission process evolves following microscopic update rules defined at the individual-level, and macroscopic states are aggrega.....
    Document: Instead of using a parsimonious ordinary differential equation model, we employ an agentbased model to account for the spatiotemporal complexity of the underlying contact patterns. In particular, agent-based models can be used to simulate epidemic spread using an Equation-Free approach (Kevrekidis et al., 2003) . The transmission process evolves following microscopic update rules defined at the individual-level, and macroscopic states are aggregated from the total simulated population.

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